• Книга "Creativity in Intelligent Technologies and Data Science. Second Conference, CIT&DS 2017, Volgograd, Russia, September 12-14, 2017, Proceedings".
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    8964 РУБ.

  • Книга "Creativity in Intelligent Technologies and Data Science. First Conference, CIT&DS 2015, Volgograd, Russia, September 15-17, 2015. Proceedings".
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    7939 РУБ.

  • Master the concepts and strategies underlying success and progress in data science.From the author of the bestsellers, Data Scientist and Julia for Data Science, this book covers four foundational areas of data science. The first area is the data science pipeline including methodologies and the data scientist’s toolbox. The second are essential practices needed in understanding the data including questions and hypotheses. The third are pitfalls to avoid in the data science process. The fourth is an awareness of future trends and how modern technologies like Artificial Intelligence (AI) fit into the data science framework.The following chapters cover these four foundational areas: Chapter 1 - What Is Data Science? Chapter 2 - The Data Science Pipeline Chapter 3 - Data Science Methodologies Chapter 4 - The Data Scientist’s Toolbox Chapter 5 - Questions to Ask and the Hypotheses They Are Based On Chapter 6 - Data Science Experiments and Evaluation of Their Results Chapter 7 - Sensitivity Analysis of Experiment Conclusions Chapter 8 - Programming Bugs Chapter 9 - Mistakes Through the Data Science Process Chapter 10 - Dealing with Bugs and Mistakes Effectively and Efficiently Chapter 11 - The Role of Heuristics in Data Science Chapter 12 - The Role of AI in Data Science Chapter 13 - Data Science Ethics Chapter 14 - Future Trends and How to Remain RelevantTargeted towards data science learners of all levels, this book aims to help the reader go beyond data science techniques and ob...
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    3977 РУБ.

  • In Science, Order and Creativity the authors call for a new creative urge in science and, in doing so, explore how creativity itself can be fostered, not only in science but in society and in the life of each individual.
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    1464 РУБ.

  • This book constitutes the proceedings of the 6th International Conference on Intelligent Technologies for Interactive Entertainment, INTETAIN 2014. The 8 full papers presented together with 4 special session papers, 4 panels and 6 extended abstracts were carefully selected from 26 submissions. The papers present interdisciplinary research, covering topics such as creativity applied to technology, AI, cognition and models of engagement and play. The special session papers address the topic of humor in intelligent environments.
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    6614 РУБ.

  • The availability of advanced information technologies such as the various types of automatic data acquisitions and sensor systems has created a tremendous capability to collect valuable process data. The effective and timely processing of this data is the backbone of intelligent process monitoring and control. The need for more practical process monitoring models continues to grow as these technologies become more sophisticated. This book presents effective methods for processing sensor data in order to achieve intelligent process monitoring and control strategies. In developing these methods, the following issues were considered: (a) how to represent secondary data in such a way that the features conserve the condition information essential for real-time decisions; (b) how to obtain a set of parsimonious features that are able to capture new information and also preserve the condition information in the original data; and (c) how to reduce the uncertainty in selecting subset features for prediction purposes. The book is an indispensable resource for researchers, professionals, and graduate students in industrial engineering, manufacturing, and related fields of study.
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    4749 РУБ.

  • This book constitutes the proceedings of the 17th International Conference on Discovery Science, DS 2014, held in Bled, Slovenia, in October 2014. The 30 full papers included in this volume were carefully reviewed and selected from 62 submissions. The papers cover topics such as: computational scientific discovery; data mining and knowledge discovery; machine learning and statistical methods; computational creativity; mining scientific data; data and knowledge visualization; knowledge discovery from scientific literature; mining text, unstructured and multimedia data; mining structured and relational data; mining temporal and spatial data; mining data streams; network analysis; discovery informatics; discovery and experimental workflows; knowledge capture and scientific ontologies; data and knowledge integration; logic and philosophy of scientific discovery; and applications of computational methods in various scientific domains.
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    8977 РУБ.

  • Intelligent information Retrieval comprehensively surveys scientific information retrieval, which is characterized by growing convergence of information expressed in varying complementary forms of data - textual, numerical, image, and graphics; by the fundamental transformation which the scientific library is currently being subjected to; and by computer networking which as become an essential element of the research fabric. Intelligent Information Retrieval addresses enabling technologies, so-called `wide area network resource discovery tools, and the state of the art in astronomy and other sciences. This work is essential reading for astronomers, scientists in related disciplines, and all those involved in information storage and retrieval.
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    6533 РУБ.

  • In the 2009-2012 Botswana Information and Communication Technology strategic plan, the Government of Botswana signposted its interest in promoting Information and Communication Technologies, innovation as well as Information and Communication Technology-Enabled services with the aim of building a knowledge based economy and moderate over dependence on natural resources. It was against this rationale that Botswana Innovation Hub was established as a Science and Technology Park, the first of its kind in the country, to take the advisory position in several industrial sectors such as the mining technologies, bio technologies, clean technologies and Information and communication technologies. This book analysis the data management needs of BIH by demonstrating through a prototype the business intelligence solution that respond to some of the key strategic questions using a pool of knowledge from the data warehouse, “business is data and data is business.” The main objective is to show how to capture strategic data from various data source to support decision makers. This is done through an extraction, transformation and loading processes using a Microsoft business intelligence studio.
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    2850 РУБ.

  • Книга "Intelligent Design in Science, Religion and You".
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  • This Springer Brief provides a comprehensive overview of the background and recent developments of big data. The value chain of big data is divided into four phases: data generation, data acquisition, data storage and data analysis. For each phase, the book introduces the general background, discusses technical challenges and reviews the latest advances. Technologies under discussion include cloud computing, Internet of Things, data centers, Hadoop and more. The authors also explore several representative applications of big data such as enterprise management, online social networks, healthcare and medical applications, collective intelligence and smart grids. This book concludes with a thoughtful discussion of possible research directions and development trends in the field. Big Data: Related Technologies, Challenges and Future Prospects is a concise yet thorough examination of this exciting area. It is designed for researchers and professionals interested in big data or related research. Advanced-level students in computer science and electrical engineering will also find this book useful.
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  • Книга "Data Analytics. Models and Algorithms for Intelligent Data Analysis".
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  • Книга "Beginning Data Science in R. Data Analysis, Visualization, and Modelling for the Data Scientist".
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  • This book examines visual data use with students (PK-16) as well as in pre-service in- service scienceteacher preparation. Each chapter includes discussion about the current state of the art with respect toscience classroom application and utilization of the particular visual data targeted by the author(s),discussion and explanation about the targeted visual data as applied by the author in his/her classroom, useof visual data as a diagnostic tool, its use as an assessment tool, and discussion of implications for scienceteaching and/or science teacher preparation.Although the body of research and practice in this field is growing, there remains a gap in the literatureabout clearly explicating the use of visual data in the science classroom. A growing body of literaturediscusses what visual data are (although this topic is still viewed as being at the beginning of itsdevelopment in educators' thinking), and there are some scattered examples of studies exploring the use ofvisual data in science classrooms, although those studies have not necessarily clearly identified their foci asvisual data, per se. As interest and attention has become more focused on visual data, a logical progressionof questioning has been how visual data are actually applied in the science classroom, whether it be early elementary, college, or somewhere inbetween. Visual data applications of interest to the science education community include how it is identified, how it can be used with students and h...
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    6289 РУБ.

  • Data Science and Analytics for Ordinary People is a collection of blogs I have written on LinkedIn over the past year. As I continue to perform big data analytics, I continue to discover, not only my weaknesses in communicating the information, but new insights into using the information obtained from analytics and communicating it. These are the kinds of things I blog about and are contained herein.Data science and analytics have been used as synonyms on occasion. In reality data science includes data modeling, data mining, data analysis, database architecture and so on. Analytics is what we do to make sense of the data. That is, we take data and turn it into information for business decision makers. This our course implies that we translate our data science jargon into English.
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    2889 РУБ.

  • Each year, students is the Master of Science program at the International Center for Studies in Creativity at SUNY Buffalo State ask and examine a big question in creativity. Since 2013, ICSC Press has had the privilege to publish the best of these papers, showcasing rst works from the eld of creativity’s newest thinkers. This special volume, created in celebration of the ICSC’s 50th birthday, presents the best of the best from those editions, collected into three themes: organizational creativity, personal creativity, and creativity in society.
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  • Книга "Data Management Technologies and Applications. 5th International Conference, DATA 2016, Colmar, France, July 24-26, 2016, Revised Selected Papers".
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  • Книга "Data Management Technologies and Applications. 4th International Conference, DATA 2015, Colmar, France, July 20-22, 2015, Revised Selected Papers".
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  • Книга "Data Management Technologies and Applications. Third International Conference, DATA 2014, Vienna, Austria, August 29-31, 2014, Revised Selected papers".
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  • In this concise book you will learn what you need to know to begin assembling and leading a data science enterprise, even if you have never worked in data science before. You'll get a crash course in data science so that you'll be conversant in the field and understand your role as a leader. You'll also learn how to recruit, assemble, evaluate, and develop a team with complementary skill sets and roles. You'll learn the structure of the data science pipeline, the goals of each stage, and how to keep your team on target throughout. Finally, you'll learn some down-to-earth practical skills that will help you overcome the common challenges that frequently derail data science projects.
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  • The 14th International Congress of Logic, Methodology and Philosophy of Science was held on July 19 - 26, 2011 in Nancy, the historic capital of Lorraine and the birthplace of Henri Poincaré. For the first time in LMPS history, the Nancy congress had a special topic: Logic and Science Facing the New Technologies. These Proceedings include state of the art discussions by leading scholars.Besides plenary talks, they contain many of the invited papers from the four sections: Logic, General Philosophy of Science, Methodological and Philosophical Issues of Particular Sciences, and Methodological and Philosophical Issues in Technology. Further papers result from colloquia on quantum information, on the notion of algorithm and on mathematics in relation to the new technologies.
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    2289 РУБ.

  • Document from the year 2016 in the subject Computer Science - Internet, New Technologies, grade: 100, Harvard University, course: Business, language: English, abstract: This study tries to find insight on how the implementation of big data and security can improve a firm's performance value towards customers. Until now, the stream of data deluging our world has been a trend that only thrilled few data geeks. Currently, the world of data is at the inflection point. A study by McKinsey Global Institute (MGI) asserted that the absolute volume of data stored, generated and gathered for insight has become economically pertinent to both customers and firms.The Big Data and Security can have the ability to transform lives. They are robust comparable to the forces of competitiveness and efficiency of preceding trends in Information Technology investment and advancement. The same prerequisites that facilitated the waves of Information Technology-enabled innovation to power productivity, i.e., technological innovations trailed by embracement of complimentary management novelty, are in place for big data, and big data sophisticated analytics abilities and technology suppliers are expected to have spread impact on efficiency similar to other technologies providers.It has become imperative for firms to take big data and its potentiality to create value. This scenario has been set up as a result of competition and market forces (p. 20). For instance, businesses operating by the adoptio...
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  • Doctoral Thesis / Dissertation from the year 2011 in the subject Computer Science - Internet, New Technologies, grade: 1,0, Karlsruhe Institute of Technology (KIT), language: English, abstract: Social Web applications have emerged as powerful applications for Internet users allowing them to freely contribute to the Web content, organize and share information, and utilize the collective knowledge of others for discovering new topics, resources and newfriends. While social Web applications such as social tagging systems have many benefits, they also present several challenges due to their open and adaptive nature. The amount of user generated data can be extremely large and since there is not any controlled vocabulary or hierarchy, it can be very difficult for users to find the information that is of their interest.In addition, attackers may attempt to distort the system's adaptive behavior by inserting erroneous or misleading annotations, thus altering the way in which information is presented to legitimate users. This thesis utilizes data mining and machine learning techniques to address these problems. In particular, we design and develop recommender systems to aid the user in contributing to the Social Semantic Web. In addition, we study intelligent techniques tocombat attacks against social tagging systems. In our work, we first propose a framework that maps domain properties to recommendation technologies. This framework provides a systematic approach to find the appr...
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  • Master's Thesis from the year 2004 in the subject Business economics - Marketing, Corporate Communication, CRM, Market Research, Social Media, grade: 1,7 (A-), Växjö University (School of Management and Economics), course: International Business Environment, 40 entries in the bibliography, language: English, abstract: Widespread changes within business environments in recent years has demanded acquisitions of new tools that are more skilled to cope with new challenges and demands in business. Advances in computer technologies, higher accessibility of computer associated tools and decreased prices of general computer-related products are reasons enough for at least considerations about higher usage of new technologies. Particularly in direct marketing activities discussed technology is called Data Mining.Companies are faced with hosts of data collected in their data repositories. Of course, companies want to make use of their data and aim to discover interesting patterns of knowledge within their data repositories. Direct marketers which can be involved in catalogue marketing, telemarketing or widely known direct-mail marketing are intensive users of Data Mining Technologies. Because of that, the authors strive to do research concerning reasons for and advantages and disadvantages with using Data Mining as support for direct marketing activities.Chapter 1 deals with general information for the reader as support for delving into the topic. The included problem discussion fi...
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  • Bachelor Thesis from the year 2016 in the subject Computer Science - Applied, grade: 1, Vienna University of Technology, language: English, abstract: The e-Home project from the Vienna University of Technology is an R&D project with goals of providing assistive technologies for private households of older people with the idea to give them possibilities for longer and independent living in their homes. The e-Home system consists of an adaptive intelligent network of wireless sensors for activity monitoring with a central context-aware embedded system. The primary goal of this thesis is to investigate unsupervised prediction and clustering possibilities of user behaviour based on collected time-series data from infrared temperature sensors in the e-Home enviroment. Three different prediction approaches are described. Hourly Based Event Binning approach is compared to two clustering algorithms, Hierarchical Clustering and Dirichlet Process GMM. Prediction rates are measured on data from three different test persons. This thesis first examines two different approaches for event detection from infrared signal data. In a second stage three different methods for unsupervised prediction analytics are discussed and tested on selected data-sets. Clustering algorithms parameter settings for time-series data have also been discussed and tested in detail. Finally the prediction performance results are compared and each method's advantages and disadvantages have been discussed. The...
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    3202 РУБ.

  • This book describes, simply and in general terms, the process of analyzing data. The authors have extensive experience both managing data analysts and conducting their own data analyses, and have carefully observed what produces coherent results and what fails to produce useful insights into data. This book is a distillation of their experience in a format that is applicable to both practitioners and managers in data science.
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    2427 РУБ.

  • To better facilitate health information dissemination, using flexible ways to represent, query and visualize health data becomes increasingly important. Semantic Web technologies, which provide a common framework by allowing data to be shared and reused between applications, can be applied to the management of health data. Linked open data - a new semantic web standard to publish and link heterogeneous data- allows not only human, but also machine to browse data. Through a use case of WHO data, we develop a linked data based health information representation, querying and visualization system. Through out the book, we discussed how to develop such systems using RDF and triple stores, how to write codes for visualization and retrieval. For users who are not familiar with SPARQL queries, we show how to develop and use a search engine interface. From this work we can depict that current linked open data technologies have a big potential to represent heterogeneous health data in a flexible and reusable manner. By reading this book, you will be able to understand the new data storage and programming technologies in linked data based information system developments. Enjoy Reading
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  • This book provides an in-depth knowledge of the most important aspects of data management, especially the relational database systems and data mining. Primary Emphasis is on peer to peer database management systems, Classifiers and Intrusion Detection. The content of the book is designed to suit the requirements of computer science students at the undergraduate and postgraduate levels as well as for the advanced learners.
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    3944 РУБ.

  • This book provides an in-depth knowledge of the most important aspects of data management, especially the relational database systems and data mining. Primary Emphasis is on peer to peer database management systems, Classifiers and Intrusion Detection. The content of the book is designed to suit the requirements of computer science students at the undergraduate and postgraduate levels as well as for the advanced learners.
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  • The present curricula for ICT in Education aims at realising the goals of the National Policy of ICT in Schools Education and the National Curriculum Framework. Given the dynamic nature of ICT, the curricula, emphasising the core educational purposes, is generic in design and focuses on a broad exposure to technologies, together aimed at enhancing creativity and imagination of the learners. For the teacher, it is an initiation into: Exploring educational possibilities of technology, Learning to make right choices of hardware, software and ICT interactions, and Growing to become a critical user of ICT. For the student, it is an initiation into: Creativity and problem solving, An introduction to the world of information and technologies, and An opportunity to shape career pursuits. Teachers who are already proficient in ICT can fast track through the course.
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  • Bachelor Thesis from the year 2017 in the subject Computer Science - Commercial Information Technology, grade: 1.3, Heilbronn University, language: English, abstract: White-collar crime is and has always been an urgent issue for the society. In recent years, white-collar crime has increased dramatically by technological advances. The studies show that companies are affected annually by corruption, balance-sheet manipulation, embezzlement, criminal insolvency and other economic crimes. The companies are usually unable to identify the damage caused by fraudulent activities. To prevent fraud, companies have the opportunity to use intelligent IT approaches. The data analyst or the investigator can use the data which is stored digitally in today's world to detect fraud. In the age of Big Data, digital information is increasing enormously. Storage is cheap today and no longer a limited medium. The estimates assume that today up to 80 percent of all operational information is stored in the form of unstructured text documents. This bachelor thesis examines Data Mining and Text Mining as intelligent IT approaches for fraud detection in white-collar crime. Text Mining is related to Data Mining. For a differentiation, the source of the information and the structure is important. Text Mining is mainly concerned with weak- or unstructured data, while Data Mining often relies on structured sources. At the beginning of this bachelor thesis, an insight is first given on white-collar crim...
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